Data Analyst (Remote)

June 18, 2026

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<span style="font-size:10pt;font-family:Arial,sans-serif;color:#000000;background-color:transparent;font-weight:700;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">ABOUT THE ROLE<span style="font-size:11pt;font-family:Arial,sans-serif;color:#444444;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">LiveLike powers fan engagement and gamification for the world's leading sports and media brands. As a Data Analyst, you will sit at the intersection of product, engineering, and client success, turning raw platform data into insights that drive real decisions.<span style="font-size:11pt;font-family:Arial,sans-serif;color:#444444;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">You will work with our analytics infrastructure (Redshift, Metabase, GA4) and collaborate across teams to build dashboards, reports, and data models that our clients depend on. This is a high-ownership role with direct exposure to enterprise sports and media clients from day one.<div> </div><span style="font-size:10pt;font-family:Arial,sans-serif;color:#000000;background-color:transparent;font-weight:700;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">KEY RESPONSIBILITIES<span style="font-size:11pt;font-family:Arial,sans-serif;color:#444444;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">Build and maintain client-facing dashboards and data views in response to stakeholder requests, translating business questions into clear visual outputs.<span style="font-size:11pt;font-family:Arial,sans-serif;color:#444444;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">Write and optimise SQL queries to extract, transform, and analyse data from LiveLike's Redshift and PostgreSQL environments.<span style="font-size:11pt;font-family:Arial,sans-serif;color:#444444;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">Collaborate with senior engineers on data architecture decisions — contributing to pipeline design, schema thinking, and data model improvements.<span style="font-size:11pt;font-family:Arial,sans-serif;color:#444444;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">Own and deliver weekly and monthly client reports, covering widget performance, user engagement, and gamification outcomes across the LiveLike product suite.<span style="font-size:11pt;font-family:Arial,sans-serif;color:#444444;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">Proactively surface new insights from data — identifying trends, anomalies, and opportunities that go beyond standard reporting requests.<span style="font-size:11pt;font-family:Arial,sans-serif;color:#444444;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">Develop a deep understanding of the LiveLike data system — platform events, user journeys, gamification logic — and use that knowledge to suggest improvements to how we measure and report.<span style="font-size:11pt;font-family:Arial,sans-serif;color:#444444;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">Partner with internal stakeholders (PMs, CSMs, engineers) and client teams to gather requirements, align on metric definitions, and ensure deliverables meet expectations.<div> </div><span style="font-size:10pt;font-family:Arial,sans-serif;color:#000000;background-color:transparent;font-weight:700;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">REQUIREMENTS<span style="font-size:11pt;font-family:Arial,sans-serif;color:#444444;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">Proficiency in SQL — comfortable writing queries from scratch including joins, aggregations, subqueries, and window functions.<span style="font-size:11pt;font-family:Arial,sans-serif;color:#444444;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">0–3 years of experience in data analytics, business intelligence, or a related field. Fresher and intern applications are welcome.<span style="font-size:11pt;font-family:Arial,sans-serif;color:#444444;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">Logical, structured mindset — ability to break down ambiguous business questions into data-driven answers.<span style="font-size:11pt;font-family:Arial,sans-serif;color:#444444;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">Strong attention to detail and comfort working with large, complex datasets.<span style="font-size:11pt;font-family:Arial,sans-serif;color:#444444;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">Clear communication skills — able to present findings to both technical and non-technical stakeholders.<span style="font-size:10pt;font-family:Arial,sans-serif;color:#000000;background-color:transparent;font-weight:700;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">GOOD TO HAVE<span style="font-size:11pt;font-family:Arial,sans-serif;color:#444444;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">Familiarity with BI tools such as Metabase, Tableau, Looker, or Power BI.<span style="font-size:11pt;font-family:Arial,sans-serif;color:#444444;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">Exposure to GA4, event analytics, or product analytics pipelines.<span style="font-size:11pt;font-family:Arial,sans-serif;color:#444444;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">Experience with cloud data warehouses: BigQuery, Redshift, or Snowflake.<span style="font-size:11pt;font-family:Arial,sans-serif;color:#444444;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">Basic knowledge of Python or R for data manipulation and analysis.<span style="font-size:11pt;font-family:Arial,sans-serif;color:#444444;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">Familiarity with dbt or data pipeline/orchestration tools.<span style="font-size:11pt;font-family:Arial,sans-serif;color:#444444;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">Interest in or experience with the sports, media, or fan engagement industry.<span style="font-size:10pt;font-family:Arial,sans-serif;color:#000000;background-color:transparent;font-weight:700;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">HOW TO APPLY<span style="font-size:11pt;font-family:Arial,sans-serif;color:#444444;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">Send your resume along with a brief note (3–5 sentences) on why analytics excites you and one example of a data problem you have solved or explored — even a personal or academic project counts.

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